Meta Platforms Technologies, LLC (20240331713). OWN-VOICE SUPPRESSION IN WEARABLES simplified abstract
Contents
OWN-VOICE SUPPRESSION IN WEARABLES
Organization Name
Meta Platforms Technologies, LLC
Inventor(s)
Jacob Ryan Donley of Issaquah WA (US)
Vladimir Tourbabin of Woodinville WA (US)
OWN-VOICE SUPPRESSION IN WEARABLES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240331713 titled 'OWN-VOICE SUPPRESSION IN WEARABLES
The patent application describes techniques for own-voice suppression using separate sound filters.
- Sound from a local area is captured using an acoustic sensor array.
- The captured sound includes noise from the local area and the user's voice.
- A first set of statistical properties associated with the noise and a second set of statistical properties associated with the user's voice are determined.
- A first sound filter is generated based on a target transfer function and both sets of statistical properties.
- A second sound filter is generated based on the target transfer function and the second set of statistical properties, but not the first set of statistical properties.
- The first sound filter and the second sound filter are applied to different parts of an audio signal generated based on the captured sound, thereby forming audio content in which the user's voice is suppressed for presentation of the audio content to the user.
Potential Applications: - Teleconferencing systems - Voice-controlled devices - Speech recognition software
Problems Solved: - Elimination of echo and background noise in audio recordings - Improved clarity of audio communication in noisy environments
Benefits: - Enhanced user experience in audio communication - Improved accuracy of voice recognition systems
Commercial Applications: Title: "Advanced Audio Filtering Technology for Enhanced Communication Systems" This technology can be used in telecommunication devices, smart speakers, and video conferencing systems to improve the quality of audio communication.
Questions about own-voice suppression: 1. How does this technology differentiate between the user's voice and background noise? 2. What are the potential challenges in implementing this technology in real-time communication systems?
Frequently Updated Research: Researchers are constantly exploring new algorithms and signal processing techniques to further enhance the effectiveness of own-voice suppression technology. Stay updated on the latest advancements in this field for improved audio communication experiences.
Original Abstract Submitted
techniques are described for own-voice suppression using separate sound filters. sound from a local area is captured using an acoustic sensor array. the captured sound includes noise from the local area and the user's voice. a first set of statistical properties associated with the noise and a second set of statistical properties associated with the user's voice are determined. a first sound filter is generated based on a target transfer function and both sets of statistical properties. a second sound filter is generated based on the target transfer function and the second set of statistical properties, but not the first set of statistical properties. the first sound filter and the second sound filter are applied to different parts of an audio signal generated based on the captured sound, thereby forming audio content in which the user's voice is suppressed for presentation of the audio content to the user.
